IoIST Data Analytics Platform for IoT Sensor Data
Celtic-Plus Event, Istanbul showcased IoIST, a cloud-based data analytics platform enabling industries to analyze IoT data for prediction and anomaly detection. Developed by INOSENS, this platform offers a cloud-based, generic IoT solution for reliable and secure data analysis. The proposal introduces a new standard for IoT interfacing, predictive maintenance, and anomaly detection on sensor data, aiming to simplify infrastructure management and accelerate IoT development in various industries
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Presentation Transcript
Celtic-Plus Event 22 September 2016, Istanbul IoIST: Data Analytics Platform for IoT Sensor Data Dr. smail UZUN, INOSENS smail.uzun@inosens.com.tr 1
Teaser What is the main benefit of the proposal? IoIST allows industries to analyze IoT data for Prediction and Anomaly Detection What brings the added value? Cloud-based, generic IoT platform will help industries to start using IoT reliably and securely Why should you participate in my proposal? Convergence of IoT ecosystem with Industries 2
INOSENS INOSENS Founded in 2014 Expert on Data Analytics, Machine Learning Expert on Product Development Cycles Founder has 30+ EUREKA/TEYDEB projects experience 3
SYM SYM Software Founded in 2006 3 experts on Distributed Systems, Big Data Analytics, Machine Learning 3 EUREKA projects 1 in EURIPIDES2 (ADORAS) 4
Proposal Introduction (1) IoIST is a cloud based Data Analytics Platform for Predictive Maintenance Applications using IoT Sensor Data Vision To create global data analytics platform for IoT Motivation Our motivation is to solve infrastructure management problem, to ease developing predictive maintenance applications on IoT Sensor Data Content Fog Computing, New Standard Definition for IoT I/F and Predictive Maintenance, Anomaly Detection on Sensor Data 5
Proposal Introduction (2) Outcome A Cloud-based Data Analytics Platform for IoT Sensors + New IoT Sensor Data I/F Protocol and Standard will be produced Impact To enable industries to jump-start IoT and Predictive Maintenance Schedule ~30 mo. (Interface Definition, Data Flow, Cloud Platform Dev., Integration, Field Tests, Dissem.) 6
Partners Current Status INOSENS, SYM Expected Partner Profile: IoT vendors (SME/Ind) Sensor Fusion experience (SME/Uni) Hardware Development/Prototyping (SME) System Owners/Operators (Defense, Transportation, Energy, etc.) (Ind/Pub) 7
Contact For more information and for interest to participate please contact: Dr. smail UZUN INOSENS ismail.uzun@inosens.com.tr www.inosens.com.tr 8
